‘Minimalist machine learning’ algorithms analyze images from very little data – Science Daily
Science Daily |
‘Minimalist machine learning‘ algorithms analyze images from very little data
Science Daily Daniël Pelt and James Sethian of Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications (CAMERA) turned the usual machine learning perspective on its head by developing what they call a “Mixed-Scale Dense Convolution Neural … |
Feature Labs, a startup with roots in research begun at MIT, officially launched today with a set of tools to help data scientists build machine learning algorithms more quickly. Co-founder and CEO Max Kanter says the company has developed a way to automate “feature engineering,” which is often a time consuming and manual process for […]